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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

409
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
409
Cognitivism01:17

Cognitivism

1.4K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
1.4K
Information Processing Approach01:30

Information Processing Approach

30
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
30
Concepts and Prototypes01:24

Concepts and Prototypes

88
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
88
Cognitive Learning01:21

Cognitive Learning

219
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
219
Organization of the Brain01:30

Organization of the Brain

698
The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
698

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相关实验视频

Updated: May 30, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Published on: March 2, 2015

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认知和脑科学中的计算模型如何解释?

Cédric Brun1, Jan Pieter Konsman2, Thomas Polger3

  • 1University of Bordeaux-Montaigne, Pessac, France.

The European journal of neuroscience
|January 28, 2025
PubMed
概括
此摘要是机器生成的。

脑科学中的科学解释正在发生变化. 虽然机械解释是标准的,但计算解释正在获得引力,这对理解神经科学研究产生了影响.

关键词:
计算解释解释的解释计算神经科学是一种神经科学.这是一个机制机制.方法论 方法论 方法论神经科学哲学的神经科学哲学

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相关实验视频

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11:18

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科学领域:

  • 科学哲学的科学哲学
  • 认知神经科学 认知神经科学
  • 计算神经科学是一种神经科学.

背景情况:

  • 传统上,认知和脑科学中的科学解释主要集中在机械解释上.
  • 最近人们对这些领域的计算解释越来越感兴趣.
  • 计算和机械解释之间的关系正在争论中.

研究的目的:

  • 检查脑科学中计算解释的现状.
  • 为了比较机械和计算解释的解释.
  • 澄清神经科学中科学解释的标准.

主要方法:

  • 审查现有的关于科学解释的文献.
  • 分析皮奇尼尼,米尔科夫斯基,曹,奇里穆塔和罗斯的计算账户.
  • 将这些帐户与已建立的因果和机制解释标准进行比较.

主要成果:

  • 神经科学中的许多计算解释与因果解释的标准一致.
  • 然而,并非所有拟议的计算账户都符合这些标准.
  • 这项研究强调了计算解释满足解释标准的不同程度.

结论:

  • 将计算解释纳入神经科学需要仔细考虑其解释能力.
  • 了解不同计算账户满足的标准对于解释它们的意义至关重要.
  • 这项工作对科学哲学和神经科学实践有影响.